Professor of Aerostructures & Zaharoff Professor of Aviation
Head of Department of Aeronautics, Imperial College (2009-2017). Prior to joining Imperial College in 2005, he was Professor of Computational Mechanics, Director of Research and the Director of Aerospace Engineering at Queen Mary, University of London (1997-2004) and Reader and Head of Damage Tolerance Division at WIT, Southampton (1987-1997), Ben Franklin Scholar, PA, USA (1986), Research Fellow, Aero and Astro, Southampton University (1984-86)
Ferri Aliabadi has worked in the field of Solids and Structures and has established an international reputation for his achievements in development of Computational Methods related to Fracture & Damage Mechanics. He has pioneered a new generation of boundary element method and is noted for his contributions to other fields including Acoustics noise control, Nonlinear Mechanics, Contact and Wear Mechanics, Optimisation and Reliability Analysis and Multiscale Material Modelling (http://www.imperial.ac.uk/structural-integrity-health-monitoring/).
During the last decade, he has pursued research and development in Structural Health Monitoring (SHM) for composite airframe in collaboration with the aeronautics industry (Airbus, Leonardo) supported by significant EU funding. He has been PI and coordinator of several EU projects including SMASH and SCOPE and coordinated the SHM platform for the wing in SARISTU project. The latest project is a 10m Euro cleansky II, core-partnership SHERLOC which he is the PI and coordinator with the aim of developing the next generation of smart (highly sensorised) composite airframe.
Period of significant growth Ferri Aliabadi was appointed the Head of Department in Sept 2009 and served two terms in this post until October 2017. During this period under Professor Ferri Aliabadi's initiatives and leadership department enjoyed a period of significant growth with doubling up the number of academic posts and facilities to support new research areas . A major increase in student numbers followed through his introduction of Space Engineering undergraduate and Advanced Aeronautics Master programs. Major investments by the department and the college allowed investment into state of the art structures testing, composite manufacturing, Aerial robotics, structural health monitoring, space engineering and range of wind tunnel facilities.
Ferri Aliabadi has published 450 papers in leading international journals and 62 books related to Experimental and Computational Methods in Solids and Structures. He has been the editor in chief of 6 international journals and is editor in chief of international journal of Multiscale Modelling (https://www.worldscientific.com/worldscinet/jmm) and Experimental and Computational Methods in Solids and Structures book series (https://www.worldscientific.com/series/cems). He is also on editorial board of 8 other international journals. Prof. Aliabadi has been recipient of several awards including an Distinguished Achievement Medal. Prof Aliabadi has supervised many post-doctoral researchers and been the primarily supervisor of 70 successful PhD studies.
Ferri Aliabadi has coordinated and participated in 36 national and international research projects and continues to work closely with the aerospace sector in UK and Europe. He is a frequent Keynote speaker at international conferences related to Structural Mechanics and Computational Methods and has given many lecture tours internationally on the topic.
Feng T, Sharif Khodaei Z, Aliabadi MHF, 2022, Influence of Composite Thickness on Ultrasonic Guided Wave Propagation for Damage Detection, Sensors, ISSN:1424-8220
Aliabadi M, 2022, Deep learning approach to impact classification in sensorized panels using self-attention, Sensors, Vol:22, ISSN:1424-8220, Pages:1-17
Feng T, Aliabadi MHF, 2022, Smart patch for structural health monitoring of composite repair, Applied Sciences, Vol:12, ISSN:2076-3417
et al., 2022, Statistical inference of the Equivalent Initial Flaw Size Distribution for an anisotropic material with the Dual Boundary Element Method, International Journal of Fatigue, Vol:158, ISSN:0142-1123
Giannakeas IN, Khodaei ZS, Aliabadi MH, 2023, Model Assisted Probability of Detection Using a Digital Clone Platform for Composite Structures, 10th European Workshop on Structural Health Monitoring (EWSHM), SPRINGER-VERLAG SINGAPORE PTE LTD, Pages:679-688, ISSN:2366-2557